基于改进遗传算法的电力系统无功优化

Reactive Power Optimization by Improved Genetic Algorithm Method

应用遗传算法求解电力系统无功优化问题,建立以无功补偿设备的投入容量、发电机端电压、可调变压器变比为控制变量,以综合效益最大为目标函数的电力系统无功优化数学模型.所建模型中,控制中心取离散值的变量,采用十进制整数编码提高了计算效率,应用混合选择算子和自适应调整交叉/变异率改善了收敛性能.在IEEE 14节点系统上进行500次的无功优化,验证了方法的正确性和有效性.

Reactive power optimization using improved genetic algorithm is studied in this paper. A mathematical model of reactive power optimization for power system is established,which treats the voltage of the generator,capacity of reactive power compensation equipment,ratio of adjustable transformers as control variables,aiming at maximizing the comprehensive benefits which takes the economics and power system performance into account. The proposed model takes decimal integer encoding strategy to improve the computational efficiency for the discrete variables in control center,applies comprehensive selection operator and adaptive crossover mutation rate to improve the convergence performance. The correctness and effectiveness of the proposed method are validated by simulation results of IEEE 14-bus system for 500 times.